A method for automatic processing of test paper answer sheets based on machine learning

Abstract

The invention discloses a method for automatically processing test paper answer sheets based on machine learning. The method is: first train the graffiti target detector; then determine the format of the test paper, generate the test paper and print it; the examiner and the reviewer fill in the corresponding area, the tester scribbles the answer area of ​​the objective question and the answer area of ​​the subjective question, and the reviewer reviews the subjective question and writes the corresponding area Then scan the completed test paper as an image, perform image processing and sub-area cutting; use the trained graffiti target detector to judge the target, and then calculate the score combined with the correct answer; finally, make statistics and analysis on the test paper: including Calculate the average score of the whole batch of test papers and the average score of each topic; calculate the distribution of the whole batch of test papers and each topic; conduct trend analysis, and retrieve the answer part from the database for teachers or individuals to check. The invention has the advantages of low cost, high precision and good flexibility, and can efficiently count and analyze the answers to the test papers.

Description

technical field [0001] The invention relates to the technical fields of computer vision and machine learning, in particular to a method for automatically processing test paper answer sheets based on machine learning. Background technique [0002] Computer vision has been a research hotspot and difficulty in recent years, and object detection, as the basis of high-level vision tasks, has become a crucial research problem in the field of computer vision. Computer vision is to imitate the visual system of the human eye through machine vision. Research in cognitive psychology and neurobiology has found that humans have a strong ability to perceive objects before recognizing what a specific object is. For a complex image, the human visual system will only pay attention to some parts of it in the initial reaction time, and ignore the rest of the insignificant parts of the image. This further shows that before recognizing a specific object, there is a simple visual attention mecha...

AI Technical Summary

Problems solved by technology

[0003] There are many restrictions on the use of traditional answer sheets that use a cursor reader to identify answers, such as the need for specific recognition hardware, high cost of answer sheets, poor flexibility in the format of test papers, and the need for specific pencil scribbles and cumbersome revisions after scribbling errors.

In addition, the statistics and analysis of the test situation by the teaching staff are inefficient, and the electronic marking is difficult to be practically used in small tests

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